To solve Chinese written grain identification problem, this paper proposes a written grain identification method based on Multiple Probabilistic Reasoning Model（MPRM）, from the point of view of ensemble learning. In this method, diverse subspaces are constructed by dividing the initial sample space into equal granularity, cross-allowed subsets. And then sample is trained by a base classifier based on Probabilistic Reasoning Model（PRM） in each subspace. A probability summation method is used to fuse the output of base classifier to get the f...
